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1 – 10 of 834Long Hong Pham, Erisher Woyo, Trang Huong Pham and Dao Thi Xuan Truong
Widespread technology adoption in tourism enables tourists to be active content creators, thus, influencing destination brands through co-creation. This study examines value…
Abstract
Purpose
Widespread technology adoption in tourism enables tourists to be active content creators, thus, influencing destination brands through co-creation. This study examines value co-creation, social commerce information sharing, and destination brand equity.
Design/methodology/approach
A quantitative approach was applied to analyse data collected from a global online survey. Hypotheses were tested using PLS-SEM analysis.
Findings
Results show that destination brand equity is positively influenced by value co-creation. Additionally, social commerce information sharing mediates the relationship between value co-creation and destination brand equity.
Practical implications
The article adds new insights to tourism marketing by investigating value co-creation, social commerce information sharing and destination brand equity. It also offers interesting implications for destination managers to improve Vietnam as a destination brand.
Originality/value
This paper is among the first to test the mediating role of social commerce on value co-creation and destination brand equity.
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Sai Ma, Qinghong Xie, Jiaxin Wang and Jingjing Dong
Customer referral programs (CRPs) are popular; however, they often generate low referral rates. The authors propose that certain CRP referral tasks may hinder consumers’ referral…
Abstract
Purpose
Customer referral programs (CRPs) are popular; however, they often generate low referral rates. The authors propose that certain CRP referral tasks may hinder consumers’ referral likelihood. This study aims to explore the effects of referral tasks (communication content and approach) on customers’ referral likelihood on social platforms and the role of self-construal.
Design/methodology/approach
This study establishes a theoretical model based on online social platforms and conducts three scenario-based experiments. The authors obtain data from consumers on Sojump platform and test the hypotheses using analysis of variance (ANOVA) analysis and mediation analysis in SPSS. The valid sample sizes for these three experiments are 288, 203 and 214, respectively.
Findings
Three experimental studies indicate that communication content and approach have a significant effect on referral likelihood. Furthermore, the effect of communication content on referral likelihood depends on the communication approach. Self-construal plays a moderating role in the effect of communication content and approach on perceived social costs.
Originality/value
CRPs typically involve tasks and rewards; consumers are asked to complete a referral task and then receive a reward. Both tasks and rewards can affect an individual’s willingness to participate; however, existing studies on CRP focus primarily on the reward component. To the best of the authors’ knowledge, this is the first study to systematically investigate the role of referral tasks (communication content and approach) in CRPs. The authors extend the related research by examining the impact of referral tasks on consumers’ willingness to recommend. In addition, this study introduces self-construal into CRPs research.
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Addressing the significant differences between referral programs and traditional promotional marketing, this paper aims to investigate and examine the impact of how reward-related…
Abstract
Purpose
Addressing the significant differences between referral programs and traditional promotional marketing, this paper aims to investigate and examine the impact of how reward-related information is presented within referral programs and how it interacts with reward size and reward allocation.
Design/methodology/approach
This study adopts framing effect and equity theory to build the relationship between reward presentation, reward size and reward allocation. Then, two scenario-based experimental studies are designed and conducted on Amazon Mechanical Turk.
Findings
The results show that there is no direct impact of reward presentation on referral likelihood, while the effect relies on reward size. As the levels of reward size increase, the referral likelihood gradually shifts from percentage form to dollar form as perceived size mediates the interaction effect on referral likelihood. Further, adding information about reward allocation also indicate the different impacts of equity and inequity on influencing the above findings.
Originality/value
The study contributes to the literature by introducing reward presentation and emphasizes its impact on individual’s behavior decisions in the context of referral programs. This study extends and broadens the scope and effectiveness of the framing effect on traditional promotional marketing strategies, while also bridging the gap in the literature by examining the combined role of information about rewards.
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Online marketplaces, which provide on-demand goods or services through matching providers and consumers, have emerged in many sectors of the society. This paper aims to assess the…
Abstract
Purpose
Online marketplaces, which provide on-demand goods or services through matching providers and consumers, have emerged in many sectors of the society. This paper aims to assess the need and speculate the design features of a specialized, online marketplace for archival services.
Design/methodology/approach
Interview data collected for a previous project were reanalyzed, and the websites of some online marketplaces were explored.
Findings
Existing general-purpose online marketplaces are useful but limited. Archivists and closely related professionals, including conservators, genealogists and public historians, need a specialized online marketplace to connect with their clients. This specialized online marketplace for archival services could adopt some useful features of existing online marketplaces.
Originality/value
To the best of the author’s knowledge, this is the first attempt to assess the need for an online marketplace for archival services.
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Gobinda Roy, Biplab Datta, Srabanti Mukherjee and Avinash K. Shrivastava
The purpose of this study is to conduct a systematic study of important research trends and published electronic word of mouth (eWOM) studies over the past 20 years in the…
Abstract
Purpose
The purpose of this study is to conduct a systematic study of important research trends and published electronic word of mouth (eWOM) studies over the past 20 years in the emerging economy. This research is designed to identify the key areas of eWOM based on the Antecedents-Consequence-Intervention (ACI) framework. This paper is also aimed to analyze the current research status of each WOM area and critically review each area for developing future research directions.
Design/methodology/approach
616 articles were selected from 112 journals for in-depth review analysis. For the systematic review of articles, an ACI framework was adopted. This paper used systematic review analysis methodology to critically analyze important research studies in each area of the ACI framework with a set of research questions.
Findings
Results identify six significant areas of eWOM, i.e. WOM antecedents, outcomes, senders, receivers, eWOM platform and eWOM management representing the whole environment. The result highlights increasing research interest on mixed eWOM and rich eWOM content and market-level source credibility factors. Research also identifies research gaps based on the ACI framework.
Originality/value
Analyzing the recent trends in the eWOM environment with the SLR approach and linking these trends to the ACI framework with a future research agenda in the emerging market indicated a pioneering attempt in eWOM research.
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Nitin Patwa, Monika Gupta and Amit Mittal
This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these…
Abstract
Purpose
This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these resources more effectively and perform better.
Design/methodology/approach
Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.
Findings
Theories encompassing social support and related approaches to “word of mouth” online, electronic purchasing and virtual communities mediated by technological platforms are the foundational frameworks for this research piece. It then produces a statistical model that enables users to predict how social commerce (s-commerce) building blocks, including forums, communities, ratings and reviews and recommendations, assist businesses in introducing innovative strategies to win in the digital markets. The results necessarily focus on trust, an essential component of e-commerce. Reciprocally, the study reverses engineer’s trust through the constructs of this moment mentioned.
Research limitations/implications
The present study describes the scope of empirical testing and validation of this framework and assists practitioners in further strengthening s-commerce strategy, an emerging and essential platform in the e-commerce industry.
Originality/value
Research highlights the dearth of current analysis in such conceptual domains while generating novel research insights aimed at e-commerce and digital business. From the viewpoint of potential and recurring customers who interact with online communities and product offerings, the study captures the essence of human interactions, often known as trade relationships, online.
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Le Yi Koh, Ying Sien Peh, Xueqin Wang and Kum Fai Yuen
The COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic…
Abstract
Purpose
The COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic. There is a dearth of appropriate health psychology perspectives in the existing study examining the effect of COVID-19 on consumers’ use of crowdsourced logistics (CL) platforms. In order to provide unique and thorough insights into how consumer health concerns can affect consumers’ subjective views and their decisions to use CL, this study combines the health belief model and the technology acceptance model.
Design/methodology/approach
Five hundred valid responses from an online survey that was created and administered in Singapore were analysed using structural equation modelling.
Findings
The findings show that all of the suggested constructs have a favourable influence on consumers’ intentions to use CL. The suggested model also demonstrates high explanatory power, with perceived usefulness serving as the primary driver, followed by perceived ease of use and self-efficacy.
Originality/value
The study advances previous academic research on CL and offers guidance to CL companies and lawmakers for promoting sustainable and secured last-mile delivery.
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Danting Cai, Hengyun Li, Rob Law, Haipeng Ji and Huicai Gao
This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post…
Abstract
Purpose
This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.
Design/methodology/approach
This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.
Findings
The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.
Practical implications
As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.
Originality/value
This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.
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Fei Zou and Yanju Zhou
The goal of this study is to investigate the mediating effect of referral rewards on consumer willingness to recommend poverty-alleviating products and to identify the most…
Abstract
Purpose
The goal of this study is to investigate the mediating effect of referral rewards on consumer willingness to recommend poverty-alleviating products and to identify the most effective referral rewards for incentivizing consumers to recommend poverty-alleviating products.
Design/methodology/approach
Tournament rewards and piece-rate rewards are designed based on the theory of indebtedness, the related literature and the actual background. SPSS 26.0 and AMOS 17.0 are used to analyze the structural equation model.
Findings
According to the structural equation analysis, the following findings were found: under the tournament reward condition, social image, feelings of indebtedness and perceived reward value negatively affect consumer willingness to recommend. Under the piece-rate reward condition, social image and feelings of indebtedness significantly negatively affect consumer recommendation willingness, while perceived reward value significantly positively affects consumer recommendation willingness. The mean recommendation willingness of the tournament reward group is significantly lower than that of the control group. In contrast, the mean recommendation willingness of the piece-rate rewards group is significantly higher than that of the control group.
Originality/value
Based on the study findings, the authors propose that enterprises apply piece-rate rewards to incentivize consumers to recommend poverty-alleviating products when designing such rewards. In this way, the sale of poverty-alleviating products can be improved.
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Dimitar Karadzhov, Graham Wilson, Sophie Shields, Erin Lux and Jennifer C. Davidson
The purpose of this study was to explore 232 service providers’ and policymakers’ experiences of supporting children’s well-being during the pandemic, across sectors, in 22…
Abstract
Purpose
The purpose of this study was to explore 232 service providers’ and policymakers’ experiences of supporting children’s well-being during the pandemic, across sectors, in 22 countries – including Kenya, the Philippines, South Africa, India, Scotland, Sweden, Canada and the USA, in the last quarter of 2020.
Design/methodology/approach
A smartphone survey delivered via a custom-built app containing mostly open-ended questions was used. Respondents were recruited via professional networks, newsletters and social media. Qualitative content analysis was used.
Findings
The findings reveal numerous system-level challenges to supporting children’s well-being, particularly virus containment measures, resource deficiencies and inadequate governance and stakeholder coordination. Those challenges compounded preexisting inequalities and poorly affected the quality, effectiveness and reach of services. As a result, children’s rights to an adequate standard of living; protection from violence; education; play; and right to be heard were impinged upon. Concurrently, the findings illustrate a range of adaptive and innovative practices in humanitarian and subsistence support; child protection; capacity-building; advocacy; digitalisation; and psychosocial and educational support. Respondents identified several priority areas – increasing service capacity and equity; expanding technology use; mobilising cross-sectoral partnerships; involving children in decision-making; and ensuring more effective child protection mechanisms.
Practical implications
This study seeks to inform resilience-enabling policies and practices that foster equity, child and community empowerment and organisational resilience and innovation, particularly in anticipation of future crises.
Originality/value
Using a novel approach to gather in-the-moment insights remotely, this study offers a unique international and multi-sectoral perspective, particularly from low- and middle-income countries.
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